Searched for: subject%3A%22Rehabilitation%22
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De Cannière, Hélène (author), Smeets, Christophe J.P. (author), Schoutteten, Melanie (author), Varon, Carolina (author), Van Hoof, Chris (author), Van Huffel, Sabine (author), Groenendaal, Willemijn (author), Vandervoort, Pieter (author)
Background: Cardiac rehabilitation (CR) is known for its beneficial effects on functional capacity and is a key component within current cardiovascular disease management strategies. In addition, a larger increase in functional capacity is accompanied by better clinical outcomes. However, not all patients respond in a similar way to CR....
journal article 2020
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De Cannière, Hélène (author), Smeets, Christophe J.P. (author), Schoutteten, Melanie (author), Varon, Carolina (author), Morales Tellez, John F. (author), Van Hoof, Chris (author), Van Huffel, Sabine (author), Groenendaal, Willemijn (author), Vandervoort, Pieter (author)
Cardiac rehabilitation (CR) is a highly recommended secondary prevention measure for patients with diagnosed cardiovascular disease. Unfortunately, participation rates are low due to enrollment and adherence issues. As such, new CR delivery strategies are of interest, as to improve overall CR delivery. The goal of the study was to obtain a...
journal article 2020
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De Cannière, Hélène (author), Corradi, Federico (author), Smeets, Christophe J.P. (author), Schoutteten, Melanie (author), Varon, Carolina (author), Van Hoof, Chris (author), Van Huffel, Sabine (author), Groenendaal, Willemijn (author), Vandervoort, Pieter (author)
Cardiovascular diseases (CVD) are often characterized by their multifactorial complexity. This makes remote monitoring and ambulatory cardiac rehabilitation (CR) therapy challenging. Current wearable multimodal devices enable remote monitoring. Machine learning (ML) and artificial intelligence (AI) can help in tackling multifaceted datasets....
journal article 2020